Draper, Norman Richard.

Applied regression analysis / Norman R. Draper, Harry Smith. - 3rd ed. - New York ; Chichester : John Wiley, c1998. - xvii, 706 p. : ill. ; 26 cm. + - Wiley series in probability and statistics. Texts and references section Wiley-Interscience publication . - Wiley series in probability and statistics. .

Online version:
Draper, Norman Richard.
Applied regression analysis.
New York : Wiley, c1998
(OCoLC)765771922

Includes bibliographical references (p. 593-603) and indexes.

Preface --
About the software --
Basic prerequisite knowledge --
Fitting a straight line by least squares --
Checking the straight line fit --Fitting straight lines: special topics --
Regression in matrix terms: Straight line case --
The general regression situation --
Extra sums of squares and tests for several parameters being zero --
Serial correlation in the residuals and the Durbin-Watson test --
More on checking fitted models --
Multiple regression: special topics --
Bias in regression estimates, and expected values of mean squares and sums of squares --
On worthwhile regressions, big F's, and R² --
Models containing functions of the predictors, including polynomial models --
Transformation of the response variable --
"Dummy" variables --
Selecting the "Best" regression equation --
Ill-conditioning in regression data --
Ridge regression --
Generalized linear models (GLIM) --
Mixture ingredients as predictor variables --
The geometry of least squares --
More geometry of least squares --
Orthogonal polynomials and summary data --
Multiple regression applied to analysis of variance problems --
An introduction to nonlinear estimation --
Robust regression --
Resampling procedures (Bootstrapping) --
Bibliography --
True/false questions --
Answers to exercises --
Tables --
Index of authors associate with exercises --
Index. Table of contents



0471170828 (hbk) 9788126531738 9780471170822

97017969


Regression analysis.

QA278.2 / .D7 1998

519.536 / DRA 2011

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